Volvo Construction Equipment
This master thesis position at Volvo Construction Equipment focuses on developing a data-driven methodology to estimate scenario probabilities and model relationships between market development scenarios within the Sales and Operations Planning (S&OP) process. The role involves analyzing historical market data, applying statistical or machine learning models, and proposing how probabilistic insights can support S&OP decision-making. The project aims to improve the quantitative assessment of market uncertainty to enhance demand, capacity, and resource allocation planning.
Volvo is a leading manufacturer of construction equipment. Choose your local website to explore our products and services – or visit our global website.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Volvo Construction Equipment.
Manager, S&OP
Pandora
PhD in Probabilistic Deep Learning / Doktorarbeit im Bereich „Probabilistic Deep Learning“
Airbus
Master Thesis: AI-Driven SOP Scenarios
Ericsson
Professor in Probabilistic Machine Learning for Science – DTU Compute
Oracle
Professor in Probabilistic Machine Learning for Science – DTU Compute
Oracle
Quantitative Modelling Engineer
PlantingSpace